{"id":"W2913637751","doi":"10.1016/j.sbi.2018.12.004","title":"The tetratricopeptide-repeat motif is a versatile platform that enables diverse modes of molecular recognition","year":2019,"lang":"en","type":"review","venue":"Current Opinion in Structural Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Cancer Research UK","keywords":"Tetratricopeptide; Motif (music); Computational biology; Structural motif; Peptide; Biology; Genetics; Biochemistry; Physics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000236855,0.0004516561,0.0008470179,0.0001375642,0.00009444763,0.00002811389,0.0005557672,0.000578371,0.00006081833],"category_scores_gemma":[0.0001093286,0.0002913307,0.0004752757,0.0001498631,0.0001682012,0.000009338721,0.0002805202,0.0002879442,0.00002687458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000476446,"about_ca_system_score_gemma":0.0001649424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004018545,"about_ca_topic_score_gemma":0.000005013585,"domain_scores_codex":[0.9979825,0.0002677366,0.0006109417,0.0006221245,0.0001265239,0.0003901696],"domain_scores_gemma":[0.9986245,0.0001179111,0.0005559913,0.0005658257,0.00007868545,0.00005706248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004229877,0.00001051104,0.00004878891,0.002545264,0.0001120775,2.391375e-7,0.00001882783,0.000001508233,0.004725337,0.0002542883,0.0002614777,0.9919794],"study_design_scores_gemma":[0.000490361,0.0003437997,0.00001264094,0.003051926,0.000158649,0.00002456406,0.0001011392,0.00001183498,0.01937985,0.002181874,0.9736049,0.0006384625],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004434009,0.9909766,0.00007094035,0.000009196932,0.002964913,0.0009881271,0.0004447749,0.000008819415,0.0001025964],"genre_scores_gemma":[0.008975551,0.9888025,0.0001201422,0.000007895128,0.0002048241,0.0001009767,0.001724424,0.00003282706,0.00003084443],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9913409,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205987151800361,"score_gpt":0.3625216207598286,"score_spread":0.2419229055797925,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}